"Understanding RAG (Retrieval-Augmented Generation or related topics)" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
x402 pay-per-call infra for agents: $0.03 image generation, Postgres, auth, storage, functions.
Append-only decisions with provenance, supersession, retrieval, and audited MCP actions.
It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
Gives an agent read-only access to a SIGNLD workspace: list data connections and table schemas, run read-only SQL over the data, and read the knowledge graph, entities, metrics, and topics. It can also create and update knowledge graph elements and topics, build charts from query results, and save standalone HTML dashboards.
Query your warehouse or a CSV with Claude/ChatGPT over MCP, governed by table-level ACL + audit.
Move a database between providers, or convert MySQL to PostgreSQL, with integrity verified.
Query 40 databases from Claude, ChatGPT, or Cursor — on any device. Read-only, encrypted, audited.
Ingest, manage, and retrieve documents for RAG-powered AI applications
